Wolfram Computation Meets Knowledge

Instructor-Led Course

The Wolfram Language: Introduction to Machine Learning

2hr 30min
Beginner
1 Certification
Estimated Time: 2hr 30min
Course Level: Beginner
Requirements: This course requires basic working knowledge of the Wolfram Language.
Certification Levels: Course completion

This course introduces the easy-to-use machine learning superfunctions available in the Wolfram Language. You will learn how to perform supervised and unsupervised learning tasks with just a few lines of code. We will start with regression, classification, clustering and anomaly detection, and from there, we'll move on to the state-of-the-art Neural Network Framework. Examples using the Wolfram Neural Net Repository are shown with instructions for building your own neural networks from scratch. Basic familiarity with the Wolfram Language or introductory-level skill in any programming language is recommended.

Featured Products & Technologies: Wolfram Language, Mathematica

DateTimeLanguageLocationCost  
October 129am–11:30am CDT Your local time
Start
End CST is US Central Standard Time, UTC/GMT -6 hours (Chicago)
CDT is US Central Daylight Time, UTC/GMT -5 hours (Chicago)
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Outline

  • Introduction to Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • The Neural Network Framework